Results 81 to 90 of about 76,023 (254)

An overview of artificial intelligence in the field of genomics

Discover Artificial Intelligence
Artificial intelligence (AI) is revolutionizing many real-world applications in various domains. In the field of genomics, multiple traditional machine-learning approaches have been used to understand the dynamics of genetic data.
Khizra Maqsood, Hani Hagras, Nicolae Radu Zabet   +2 more
doaj   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence.

PLoS ONE
Accurate electricity consumption forecasting in residential buildings has a direct impact on energy efficiency and cost management, making it a critical component of sustainable energy practices.
Jihoon Moon, Muazzam Maqsood, Dayeong So, Sung Wook Baik, Seungmin Rho, Yunyoung Nam   +5 more
doaj   +1 more source

Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production

mSystems
The increasing knowledge of microbial ecology in food products relating to quality and safety and the established usefulness of machine learning algorithms for anomaly detection in multiple scenarios suggests that the application of microbiome data in ...
Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda   +9 more
doaj   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

The application of explainable artificial intelligence methods to models for automatic creativity assessment

Frontiers in Artificial Intelligence
ObjectiveThe study is devoted to comparing various models based on Artificial Intelligence to determine the level of creativity based on drawings performed using the Urban test, as well as analyzing the results of applying explainable artificial ...
Anastasia S. Panfilova, Ekaterina A. Valueva, Ekaterina A. Valueva, Ivan Y. Ilyin   +3 more
doaj   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

Advanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske, Yaşar Krysiak, Hans Tornatzky, Markus R. Wagner, Sebastian Polarz   +4 more
wiley   +1 more source

Explainable Artificial Intelligence (XAI)

, 2021
Complex machine learning models perform better. However, we consider these models as black boxes. That s where Explainable AI (XAI) comes into play. Understanding why a model makes a specific prediction can be as crucial as its accuracy for many applications, researchers, and decision-makers.
openaire   +1 more source

Tin‐Oxo Nanocluster Extreme UV Photoresists Equipped with Chemical Features for Atmospheric Stability and High EUV Sensitivity

Advanced Functional Materials, EarlyView.
Fluoroalkyl‐functionalized tin–oxo nanoclusters (N‐TOC6) enable robust pattern formation through ligand crosslinking under EUV exposure without thermal processing. Sn–F coordination mitigates the Lewis acidity of Sn centers, suppressing reactions with airborne molecules and improving post‐exposure pattern stability.
Yejin Ku, Gayoung Kim, Minseung Kim, Hyungju Ahn, Jin‐Kyun Lee, Jiho Kim, Byeong‐Gyu Park, Dohyun Moon, Sangsul Lee, Seohyeon Lee, Yu Ha Jang, Byung Jun Jung, Hyunseok Kim, Changhyeon Lee, Su‐Mi Hur, Ji Young Park, Chawon Koh, Tsunehiro Nishi, Hyun‐Woo Kim   +18 more
wiley   +1 more source

Explainable Artificial Intelligence: Advancements and Limitations

Applied Sciences
Explainable artificial intelligence (XAI) has emerged as a crucial field for understanding and interpreting the decisions of complex machine learning models, particularly deep neural networks.
Halil Ibrahim Aysel, Xiaohao Cai, Adam Prugel-Bennett   +2 more
doaj   +1 more source